CV

My education, research experience, and technical background.

Education

2022.10 — 2027.01Expected

KU Leuven

PhD in Computer Science

Supervisor: Marie-Francine Moens
Full scholarship

2020.06 — 2022.09

Aalto University

MSc in Computer Science

Supervisor: Pekka Marttinen
Full scholarship

2016.09 — 2020.06

Macau University of Science and Technology

BSc in Electronic Information Technology

Supervisor: Yanyan Liang
Full scholarship

Research projects

My contributions to collaborative European research projects.

AIDAVA

Medical language models & multilingual information extraction

Led research on medical language model pretraining and information extraction, from domain knowledge integration and parameter-efficient adaptation to multilingual temporal relation modeling and evaluation.

ANTIDOTE

Evidence-based explanations for medical AI

Led method development for medical evidence retrieval, question answering, and explanation generation. Developed weakly supervised argument mining to structure claims, evidence, and their relations.

INTERVENE

Clinical information extraction with limited supervision

Led low-resource information extraction research for Finnish clinical text, using medical ontologies to construct weak supervision and develop domain-adapted named entity recognition models.

Technical skills

Model development

Python, PyTorch, Hugging Face Transformers; medical model training, evaluation, and deployment.

Language model adaptation

Adapter and LoRA fine-tuning, prompt engineering, knowledge editing, and inference-time intervention.

Efficient training & clinical applications

Familiarity with DeepSpeed and distributed training; collaboration with clinicians on medical AI applications.

Publications

Publications and research, including work in medical NLP, multilingual language models, and explainable AI.

All publications →